Distributed Computational Technologies

• Students are trained in the cutting-edge and most popular computer technologies in the world: cloud computing, big data, and Hadoop.
• They have access to advanced computer architectures: Blue Gene, Ultra SPARC, GP GPU and others.
• They can take part in cooperation programmes with world’s leading universities.
• They receive a comprehensive education from a good mathematical preparation to in-depth knowledge of engineering disciplines.
• Graduates have an opportunity to work in leading computer companies

• Pavol Jozef Šafárik University in Košice (Slovakia)
• The University of Amsterdam (the Netherlands)
• Lappeenranta-Lahti University of Technology (Finland)
• Aalto University (Finland) and others

• High performance computing, and grid and cloud technologies
• Distributed computing and data processing
• Big Data
• Distributed ledgers
• Mathematical modelling of complex problems, development of computing environments (‘virtual testing ground’)
• Systems of artificial intelligence and the Internet of things
• Application of information technology methods to solve applied problems of physics, technology, medicine, and socio-economic problems

Professions

• Analyst – a specialist who knows how to ‘put’ applied tasks into computing.
• Mathematician – a specialist who knows how to bring tasks to the necessary rigour, correctness and efficiency.
• System programmer – a specialist who knows how to bring developed models to special and intermediate software that implements all created theoretical models.
• Our graduates are universal researchers who are ready to apply their knowledge to solve urgent and resource-intensive tasks.

Organisations where our graduates work

• Computer companies and software producers: IBM; Oracle; EPAM Systems; T-Systems; Digital Services Association; Speech Technology Center Limited; NEOTEK MARIN JSC; group of companies ‘Digital Design’; and others
• Computing centres and research institutions: the Resource Centre ‘The Computing Centre of St Petersburg University’; and the Laboratory of Information Technologies of the Joint Institute for Nuclear Research
• Industry: Avrora Scientific and Production Association; JSC Concern Okeanpribor
• Universities: St Petersburg University; the University of Amsterdam; Aalto University; and others

• Creation of the first Beowulf-cluster in Russia (1997)
• First distributed computing over the Internet (1998)
• Participation in projects to create GRID infrastructure: NorduGRID, X-GRID, LCG (since 2000)
• The system of dynamic load balancing in a heterogeneous environment (DINAMITE product) (2003)
• Development of middleware for the European project ‘Virtual Laboratory’ (in cooperation with the University of Amsterdam) (2001-2010)
• Development of a distributed telemedicine cardiology system (within the framework of the SKIF programme) (2004)
• Methods for optimising data access in a heterogeneous computer environment (2008)
• Hierarchical resource control in GRID calculations (2009)
• Using virtualisation methods as a basis for the work of a supercomputer centre (2011)
• Development of tools for a virtual personal supercomputer (2013)
• Development of tools for creating a virtual elementary particle accelerator (2014)
• Development of tools for the analysis and processing of Big Data (2015)
• Development of tools for a virtual hydrodynamic testing ground (2018)
• Development of a distributed ledger system and consensus algorithms (2018)
• Development of virtualisation methods for processing distributed Big Data (2020)